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PubMed:23022584 JSONTXT 42 Projects

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Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-156 Sentence denotes A quantitative proteomic workflow for characterization of frozen clinical biopsies: laser capture microdissection coupled with label-free mass spectrometry.
T1 0-156 Sentence denotes A quantitative proteomic workflow for characterization of frozen clinical biopsies: laser capture microdissection coupled with label-free mass spectrometry.
TextSentencer_T2 157-365 Sentence denotes This paper describes a simple, highly efficient and robust proteomic workflow for routine liquid-chromatography tandem mass spectrometry analysis of Laser Microdissection Pressure Catapulting (LMPC) isolates.
T2 157-365 Sentence denotes This paper describes a simple, highly efficient and robust proteomic workflow for routine liquid-chromatography tandem mass spectrometry analysis of Laser Microdissection Pressure Catapulting (LMPC) isolates.
TextSentencer_T3 366-559 Sentence denotes Highly efficient protein recovery was achieved by optimization of a "one-pot" protein extraction and digestion allowing for reproducible proteomic analysis on as few as 500 LMPC isolated cells.
T3 366-559 Sentence denotes Highly efficient protein recovery was achieved by optimization of a "one-pot" protein extraction and digestion allowing for reproducible proteomic analysis on as few as 500 LMPC isolated cells.
TextSentencer_T4 560-703 Sentence denotes The method was combined with label-free spectral count quantitation to characterize proteomic differences from 3000-10,000 LMPC isolated cells.
T4 560-703 Sentence denotes The method was combined with label-free spectral count quantitation to characterize proteomic differences from 3000-10,000 LMPC isolated cells.
TextSentencer_T5 704-846 Sentence denotes Significance analysis of spectral count data was accomplished using the edgeR tag-count R package combined with hierarchical cluster analysis.
T5 704-846 Sentence denotes Significance analysis of spectral count data was accomplished using the edgeR tag-count R package combined with hierarchical cluster analysis.
TextSentencer_T6 847-928 Sentence denotes To illustrate the capability of this robust workflow, two examples are presented:
T6 847-928 Sentence denotes To illustrate the capability of this robust workflow, two examples are presented:
TextSentencer_T7 929-1112 Sentence denotes 1) analysis of keratinocytes from human punch biopsies of normal skin and a chronic diabetic wound and 2) comparison of glomeruli from needle biopsies of patients with kidney disease.
T7 929-1112 Sentence denotes 1) analysis of keratinocytes from human punch biopsies of normal skin and a chronic diabetic wound and 2) comparison of glomeruli from needle biopsies of patients with kidney disease.
TextSentencer_T8 1113-1193 Sentence denotes Differentially expressed proteins were validated by use of immunohistochemistry.
T8 1113-1193 Sentence denotes Differentially expressed proteins were validated by use of immunohistochemistry.
TextSentencer_T9 1194-1426 Sentence denotes These examples illustrate that tissue proteomics carried out on limited clinical material can obtain informative proteomic signatures for disease pathogenesis and demonstrate the suitability of this approach for biomarker discovery.
T9 1194-1426 Sentence denotes These examples illustrate that tissue proteomics carried out on limited clinical material can obtain informative proteomic signatures for disease pathogenesis and demonstrate the suitability of this approach for biomarker discovery.